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An underwater image quality assessment metric

Guo, Pengfei, Liu, Hantao ORCID:, Zeng, Delu, Xiang, Tao, Li, Leida and Gu, Ke 2022. An underwater image quality assessment metric. IEEE Transactions on Multimedia 10.1109/TMM.2022.3187212

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Various image enhancement algorithms are adopted to improve underwater images that often suffer from visual distortions. It is critical to assess the output quality of underwater images undergoing enhancement algorithms, and use the results to optimise underwater imaging systems. In our previous study, we created a benchmark for quality assessment of underwater image enhancement via subjective experiments. Building on the benchmark, this paper proposes a new objective metric that can automatically assess the output quality of image enhancement, namely UWEQM. By characterising specific underwater physics and relevant properties of the human visual system, image quality attributes are computed and combined to yield an overall metric. Experimental results show that the proposed UWEQM metric yields good performance in predicting image quality as perceived by human subjects.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Computer Science & Informatics
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 1520-9210
Date of First Compliant Deposit: 2 July 2022
Date of Acceptance: 27 July 2022
Last Modified: 11 Nov 2022 01:47

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